Analyzing Competing Risk Data Using theRtimeregPackage

• DOI: 10.18637/jss.v038.i02
• Publication Date: 2015-09-21T20:30:55Z
• Authors: Thomas H. Scheike; Mei-Jie Zhang
• Keywords: R package; Goodness of fit; Follicular lymphoma

In this paper we describe flexible competing risks regression models using the comp.risk() function available in <strong>timereg</strong> package for R based on Scheike et al. (2008). Regression are specified transition probabilities, that is cumulative incidence setting. The model contains Fine and Gray (1999) as a special case. This can be used to do goodness-of-fit test subdistribution hazards’ proportionality assumption (Scheike Zhang 2008). program also construct confidence bands predicted curves. We apply methods data follicular cell lymphoma from Pintilie (2007), where disease relapse death without relapse. There important non-proportionality present data, it demonstrated how one analyze these models.